为解决现有过程能力指数(Cpk)评价方法在卷烟制丝过程应用中存在评价结果失真等问题,构建了新的评价指数数学模型并用于表征参数运行稳定性水平.以卷烟制丝线松散回潮工序热风循环温度的历史采集数据为样本,基于新的数学模型,加入最大范围约束和零点约束条件,采用多元非线性回归分析方法,应用Minitab16软件构建表征参数运行稳定性的评价指数QI.采用该指数对循环热风温度6个月以上的数采数据进行验证及分析,结果表明:①新构建的评价指数QI能够实现类似Cpk指数的表征性能且能规避评价结果失真现象;②用于评价偏移和离散同时存在的过程时,QI指数存在较低失真概率和误判风险;③评价指数QI评价结果数值分辨率高于Cpk指数.%In order to avoid the possible distortion of process capability index (Cpk) currently applied to the assessment of tobacco primary processing, a new index model was developed for characterizing the consistency of the process parameters. Taking the massive historical data of circulated hot air temperature in the loosening and conditioning cylinder as a sample, on the basis of the developed model, via introducing maximum range constraint and zero point constraint conditions, an assessment index, QI, for characterizing process parameter consistency was proposed by means of multivariate nonlinear regression analysis and Minitab16 software. The QI was validated and analyzed with the data of circulated hot air temperature in more than 6 months, the results showed that: 1) QI was competent for characterizing process parameters without distortion. 2) QI presented lower distortion probability and misjudgment risk in evaluating a deviative and discrete process. 3) The numerical value resolution of assessment results of QI was higher than that of Cpk.
展开▼
